DocumentCode :
342621
Title :
Evolutionary self-organization of an artificial potential field map with a group of autonomous robots
Author :
Liu, Jiming ; Wu, J.-B. ; Maluf, David A.
Author_Institution :
Dept. of Comput. Sci., Hong Kong Baptist Univ., Howloon Tong, Hong Kong
Volume :
1
fYear :
1999
fDate :
1999
Abstract :
This paper is concerned with two issues: (1) how to enable distributed robots to dynamically acquire their goal-directed collective behaviors, and (2) how to apply the methodology of collective behavioral learning to solve the world modeling problems in mobile robot navigation. We have developed an evolutionary self-organization approach to collective task handling, and furthermore, demonstrated the implemented approach in tackling the specific problem of collectively constructing a global spatial representation, i.e., an artificial potential field map, in an unknown environment
Keywords :
evolutionary computation; mobile robots; multi-robot systems; navigation; path planning; spatial reasoning; artificial potential field map; autonomous robots; collective behavioral learning; collective task handling; distributed robots; evolutionary self-organization; global spatial representation; goal-directed collective behavior; mobile robot navigation; unknown environment; world modeling problems; Algorithm design and analysis; Computer science; Evolutionary computation; Genetic algorithms; Mobile robots; Motion control; Motion planning; Navigation; Robot kinematics; Robot sensing systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5536-9
Type :
conf
DOI :
10.1109/CEC.1999.781946
Filename :
781946
Link To Document :
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